ODBC Merger

The ODBC Merger connects to multiple ODBC sources and creates a unified dataset by aligning schemas and merging rows on chosen keys. It supports inner, outer, left, and union-with-dedup strategies to fit cross-system reporting needs. Users define source-to-target mappings and merge keys to control how data merges across systems. The tool emphasizes data integrity through type casting, conflict resolution policies, and validation checks to ensure resulting datasets are analytic-ready. Typical workflows include consolidating monthly sales from disparate databases or creating a customer-360 view from CRM and ERP systems. The solution offers advanced features such as incremental merges using watermark fields, enrichment lookups, and audit trails to support governance and reproducibility. By exporting to CSV, JSON, or SQL inserts, teams can push consolidated data into BI tools, data lakes, or downstream ETL pipelines. Unique value lies in its domain-focused mapping engine, robust handling of schema drift, and ability to perform cross-source deduplication without requiring custom scripts. Use cases span data migration, cross-source analytics, and centralized reporting dashboards.
The tool operates entirely on data at rest within connected sources or in the intermediate merge store, avoiding vendor-lock and enabling reproduceable pipelines.
Operators benefit from clear conflict policies, visibility into source column origin, and export formats that align with common analytics workflows.